本文提出一种新的目标跟踪算法，将鲁棒外观滤波与粒子滤波器相结合，从而实现稳定的目标跟踪。

A new approach that incorporates robust appearance filter with a particle filter to realize robust object tracking is presented in this paper.

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利用本算法构造CL多小波前置滤波器的实验结果表明，本算法不仅计算速度快，而且稳定性也得到了显著提高。

The results of the experiment using this arithmetic to construct CL multi-wavelet pre-filter show that not only the compute speed is fast, but also the stability is remarkable improved.

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在用带有噪声的信号进行反卷积时，没有严格的解，必须采用滤波器方能得到稳定、平滑的估计解。

When deconvoluting the signal with noise, there are no exact solutions, so we must use filter to get stable and smooth estimated solutions.

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